Artificial Intelligence and Machine Learning
How to Evaluate LLM Outputs in Production Deployments
Evaluating an LLM in production requires more than checking whether individual responses sound correct. Real deployments involve changing user inputs, different data sources, latency requirements, costs, and failure patterns. For a Forward Deployed Engineer (FDE), evaluation must connect model behavior with the customer’s actual workflow. The goal is to measure whether the system remains accurate, […]